9results about How to "Realize intelligent collection" patented technology

The application provides a vehicle operation data collection method and system, computer equipment and medium, and belongs to the field of vehicle data processing. The method comprises the following steps: obtaining vehicle model information and user demand of a vehicle to be collected; determining data analysis service project content options based on a data analysis service project content information table and vehicle model information corresponding information table, and screening data analysis service project content according to the user demand of the vehicle to be collected; generating a natural language text for the data analysis service project content to obtain a vehicle data collection strategy; collecting environmental data and judging based on data collection conditions; when the environmental data falls within the range of the data collection conditions, collecting operation data of the vehicle to be collected according to the data collection project, and obtaining operation data of the vehicle to be collected. The method can dynamically collect data based on the actual operation state, driving environment and user demand of the vehicle, and ensure the effectiveness of operation data collection.

The present invention discloses an intelligent monitoring method, device and system for flight support nodes, which can realize the intelligent collection of the completion status of each flight support node, reduce the delay error caused by manual input, thereby improving the efficiency and accuracy of flight support, and reducing the consumption of manpower and material resources. The method comprises: using a target detection model based on a yolov5 network to intelligently identify video frames at different times of a multi-view video stream corresponding to any aircraft position in an airport apron, so as to determine the first flight support node currently executed by any aircraft position, and update the flight support node of any aircraft position to the first flight support node; further determine and based on the detection category to which the first flight support node belongs, use a preset method to monitor the operation process status of the first flight support node, and record the operation time of the first flight support node; repeat the above steps until it is determined that the first flight support node is the last flight support node.

The invention provides a medical record data intelligent acquisition method and system based on a smart hospital, and the method comprises the following steps: firstly, collecting medical record related multi-source data in the hospital, including basic information of a patient, symptom description, an inspection result and a diagnosis conclusion; and then the data are preprocessed, and data quality evaluation is performed by using an improved Bayesian filtering method, so that a reliable medical record data state can be obtained. And then, inputting the reliable medical record data state into an intelligent classification model trained by considering department categories and disease types, and performing classification to obtain predicted disease categories and corresponding departments. And finally, inputting a prediction result into an acquisition optimization function considering disease characteristics and data association to obtain a data acquisition priority, and generating an acquisition instruction according to the priority to realize intelligent acquisition of medical record data. According to the invention, the accuracy and efficiency of medical record data acquisition can be improved, the configuration of medical resources is optimized, and the diagnosis and treatment quality and management level of hospitals are improved.

The present application relates to the field of engineering surveying and mapping technology, in particular to an engineering surveying and mapping data intelligent acquisition, analysis and processing system and method, mainly applied to data acquisition, analysis and processing in the process of engineering construction; the system covers image acquisition, data classification, database storage, data processing, data analysis and decision feedback modules; the image acquisition module obtains an engineering surveying and mapping image feature set, the data classification module receives and classifies and stores the data; the database stores the classified data, the data processing module divides and calculates the importance of the image feature nodes; the data analysis module identifies abnormal data, and the decision and data feedback module receives the identification result and adjusts the data threshold; the system significantly improves the surveying and mapping precision through feature node processing and importance calculation; at the same time, the multi-level comparison mechanism improves the accuracy of abnormal detection, and provides efficient and accurate data support for engineering construction.

The present invention belongs to the field of agricultural technology, and establishes a dynamic monitoring and evaluation method and prediction method for corn drought and flood based on fine grid water balance. Acquire the actual agricultural meteorological data, forecast data, geographic data and agricultural data of the region; build a database; pre-process the training set; construct a water balance parameter model; construct a daily dynamic water profit and loss rate model; obtain the continuous rolling daily rainfall contribution weight and construct a daily dynamic farmland actual water supply index model; construct a daily dynamic drought and flood index model; obtain a daily corn field drought and flood level threshold system; monitor the daily dynamic drought and flood disaster drought and flood index; forecast the daily dynamic drought and flood disaster drought and flood index; correspond the forecast results of the drought and flood index with the daily corn field drought and flood level threshold, and then guide disaster prevention decisions. Solve the current sparse monitoring network problem to improve the spatiotemporal resolution and accuracy of disaster monitoring and evaluation.

The invention provides an unattended property anti-theft safety intelligent management system. The system comprises a main system server; a domain system controller; a front-end video monitoring system; a video information management application system; the front-end infrared induction security and protection system is in signal connection with the main system server; the front-end video monitoring system, the video information management application system and the front-end infrared induction security system are linked in a property management area based on a domain system controller; and the domain system controller is linked with the application terminal APP through the main system server according to the operation states of the front-end video monitoring system, the video information management application system and the front-end infrared induction security system. Compared with the prior art, the active prevention capability and the safety protection capability of the property anti-theft safety management system are improved, multiple functions are integrated, efficiency and quality improvement of property management service and social service can be taken into account, and in addition, the invention further relates to an unattended property anti-theft intelligent safety management method and electronic equipment. The invention also has the above technical effects.

This utility model belongs to the field of tablet preparation technology, specifically relating to a tablet compression device, including a rotating table with several compression stations on the rotating table. Each compression station includes two parallel compression slots. Three sets of compression mechanisms are provided on one side of the rotating table, each compression mechanism including a filling component and a compression component. This utility model provides a tablet compression device that, by setting a rotating table and multiple parallel compression slots, in conjunction with a filling component and a compression component, achieves continuous and automated tablet compression operation. Specifically, the hopper and guide pipe in the filling component can uniformly introduce powder or granules into the compression slots. The compression component in the compression component, driven by a first drive component, compresses the tablets. The device has a compact structure and stable operation.

The present application relates to a kind of lean water area rock slope protection device, belong to geotechnical engineering and ecological restoration technical field;Including grid, cable net, anchor rod, grip fixed mechanism, water collection mechanism, automatic irrigation mechanism, grid is laid on slope, cable net covers on grid, grid and cable net are fixed on slope by anchor rod, grip fixed mechanism is clamped and fixed in the tail end of anchor rod, water collection mechanism, automatic irrigation mechanism are set on grip fixed mechanism;Without affecting the premise that anchor rod structure and slope ecology, effectively realized the integrated function of slope stability support, rainwater automatic collection and drought intelligent irrigation, the reliable fixing and self-adapting water supply of seed storage bag are realized by pure mechanical structure, improve the reliability of lean water area rock slope ecological restoration, reduce the cost of later maintenance, solve the current rock slope water storage difficulty, plant is difficult to grow, and seed storage bag is difficult to fix on slope.

The invention provides an abnormal transaction behavior analysis, research and judgment method and system based on multi-source data, and relates to the technical field of abnormal transaction data analysis, and the method comprises the steps: constructing a multi-source account association topology, and generating a collection instruction set; obtaining multi-source heterogeneous fund transaction data and unifying the formats; extracting features to construct a data quality evaluation vector, and calculating a credibility weight for hierarchical labeling; constructing a weighted fund flow network structure; abnormal transaction paths are identified and scored, and the highest confidence coefficient abnormal transaction sub-graph is screened out; and generating an evidence analysis result. According to the invention, intelligent collection, quality evaluation and credible association analysis of multi-source data are realized, and the collection efficiency and accuracy of transaction crime evidence are improved.